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08/28/2023
RecRec: Algorithmic Recourse for Recommender Systems
Recommender systems play an essential role in the choices people make in...
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05/24/2023
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems
As the use of online platforms continues to grow across all demographics...
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07/14/2021
Fairness in Ranking under Uncertainty
Fairness has emerged as an important consideration in algorithmic decisi...
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05/29/2020
Controlling Fairness and Bias in Dynamic Learning-to-Rank
Rankings are the primary interface through which many online platforms m...
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02/11/2019
Policy Learning for Fairness in Ranking
Conventional Learning-to-Rank (LTR) methods optimize the utility of the ...
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02/20/2018
Fairness of Exposure in Rankings
Rankings are ubiquitous in the online world today. As we have transition...
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02/17/2016
